General information

Machine Learning Engineer - 2026-35889

Internal job title: Solutions Engineer, niveau 3

Department Head quarters: Tech & Data

Education level: University education

Contract hours: 32-40

Job description

At Jumbo, we do everything we can to offer delicious, affordable, and responsible food for everyone. As a Machine Learning Engineer, you contribute to this every day by building smart optimization models that improve our last-mile planning and help us make better use of drivers, time, and delivery capacity.

Your role requires finding a balance between an efficient delivery operation and meeting our customers' needs. By doing so, you will be able to provide the best possible delivery experience to our customers while ensuring that the deliveries remain sustainable. For example, by providing better insights into when we will arrive to the customer, smaller time windows, reducing delivery costs, allowing for a later cut-off, and providing the driver with more time to deliver the groceries. 

Your key responsibilities:

  • Optimize delivery routes to improve efficiency, costs, and customer satisfaction
  • Develop machine learning models to predict capacity and improve planning decisions
  • Allocate orders to the most efficient fulfillment and delivery locations
  • Improve how we use drivers, time, and space in delivery vans
  • Build and maintain scalable backend services for planning and optimization
  • Solve complex optimization problems with many dynamic parameters and constraints
  • Collaborate with engineers and supply chain experts to translate business needs into solutions
  • Continuously improve last-mile performance, balancing operational efficiency and customer experience
  • Coach and support other team members, helping them grow in their technical skills and measure and optimize their impact

Together, we are Jumbo: This is where you'll work

At Jumbo, no two days are the same. We move fast and keep improving, for our customers and for each other. You’re encouraged to spot opportunities, take ownership, and make an impact. You’ll work in an informal, energetic environment with room for your ideas, humor, and fun. Together, with a strong dose of Jumbo DNA, we collaborate to win our customers’ hearts every day.

Together, we tackle complex puzzles every day. With many parameters in play, this is exactly the kind of challenge that keeps the work exciting. You’ll join a driven IT Development team in Veghel, part of our Tech department, with 2 backend engineers, a full stack engineer, and a junior machine learning engineer. A small, focused team where you learn fast, take ownership, and make real impact on our last-mile performance.

  • A strong foundation in mathematics and statistics, including probability, linear algebra, and optimization, comes naturally to you
  • Designing and validating models is something you do with a clear understanding of experimentation, hypothesis testing, and bias detection
  • End-to-end thinking defines your work, from modeling to deployment, evaluation, and continuous improvement
  • A broad range of techniques, from regression and tree-based models to optimization and neural networks, is part of your toolkit
  • Clean, production-ready Python code is your standard, with a focus on architecture, testing, maintainability, and applying design patterns and maintainable abstractions
  • Critical thinking is second nature: you challenge assumptions and make decisions based on data and scientific evidence
  • You enjoy sharing knowledge and supporting others, for example by coaching other team members

 

 

  • Solve complex last-mile puzzles with machine learning and optimization. Build smart solutions that improve delivery planning, use capacity more efficiently, and directly impact how we serve our customers every day.
  • We make groceries easy, affordable, and reliable. By improving our last-mile planning, you help us deliver faster, reduce costs, and create a better experience for millions of customers.
  • Join a small, driven Tech team in Veghel. Work with backend, full stack, and ML engineers who love solving complex problems and delivering real impact in a fast-moving environment.
  • Collaborate closely with engineers, product teams, and supply chain experts. Together, you turn complex logistics challenges into smart, scalable solutions that improve our delivery performance. 

 

Extra information

 

Salarisschaal: Schaal 10 (HK)

Contactperson: Bart Gerritse 

Hiring Manager: Roberto Carcangiu